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检索条件"任意字段=International Conference on Electrical Engineering Computing Science and Automatic Control"

共 15627 条记录，以下是1771-1780 订阅

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An Effective Network Communication algorithm for Dynamic Handover 3

An Effective Network Communication algorithm for Dynamic Han...

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3rd international conference on Smart Technologies in computing, electrical and Electronics, ICSTCEE 2022

作者： Sivasankaran, V. Maheswar, R. Sugumaran, S. Sountharrajan, S. Jayarajan, P. School of Electrical and Electronics Engineering VIT Bhopal University Bhopal India KPR Institute of Engineering and Technology Department of Electronics and Communication Enegineering Coimbatore India Sreenivasa Institute of Technology and Management Stuides Department of Electronics and Communication Enegineering Chittoor India Amrita School of Computing Chennai Amrita Viswa Department of Computer Science Engineering Vidyapeetham India Sri Krishna College of Technology Department of Electronics and Communication Enegineering Coimbator India

ISBN: (纸本)9781665456647

Today many devices like laptops and smartphones have access to both WIFI and LTE at the same time. The reliability and performance of wireless networks and the Internet is not perfect always. Sometimes users need to manually disconnect devices from slow or unreliable WIFI networks, in order to switch to LTE. when the connected WIFI network becomes unstable The Android operating system already includes a way to automatic switch to LTE,. In this research work, addressed the issues of switching between WIFI and LTE in Android. It is done by emulating various network conditions in order to provoke an Android phone to switch from WIFI to LTE. We show that the Android phone sometimes can stay connected to WIFI network networks even when there is very poor Internet access. The proposed algorithm shows the consistent in switching to LTE from poorly performing networks WIFI, however it also leads to much higher overhead in terms of data usage. © 2022 IEEE.

关键词： Android (operating system)

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Luminescent and electrical properties of PIN diodes based on a-Si1-xCx:H thin films

Luminescent and electrical properties of PIN diodes based on...

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international conference on electrical engineering, computing science and automatic control (CCE)

作者： J. R. Ramos-Serrano M. Meneses M. Moreno A. Morales Victor Aca I. Juarez Óptica y Electrónica Electronics Coordination. Instituto Nacional de Astrofísica Pue. México Electrical Engeneering Department Centro de Investigación y de Estudios Avanzados del IPN México City México

This work presents the study of the light emission and conduction mechanisms of PIN diodes using an amorphous silicon-carbide (a-Si1-xCx:H) thin film as active layer. The PIN structures were fabricated by the PECVD technique onto P-type silicon wafers at a substrate temperature of 200 °C. Two different active layers deposited with the CH4/SiH4 flow rates of 30 sccm/ 6sccm and 30 sccm/1 sccm were used. Both structures display red-orange electroluminescence only in forward bias. The structure deposited with a lower silicon content shows a shorter wavelength emission with a higher intensity at a lower voltage bias. From the current-voltage measurements the dominant charge transport mechanisms were proposed. On the one hand, the Fowler-Nordheim tunneling was related to the highest silicon content structure due to a lower barrier height, and on the other hand, the trap-assisted tunneling was associated with the lowest silicon content related to a higher density of defects in localized tail states.

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Analysis of Electromagnetic Parameters of Switched Reluctance Motors Taking Influence of Rotor and Stator pole angles into Account 12

Analysis of Electromagnetic Parameters of Switched Reluctanc...

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12th IEEE international conference on control, Automation and Information sciences, ICCAIS 2023

作者： Hai, Linh Dinh Minh, Hien Nguyen Thi Nga, Viet Nguyen Minh, Dinh Bui Minh, Tu Pham Quoc, Vuong Dang ThuyLoi University Faculty of Electrical and Electronic Engineering No 175 Tay Son street Dong Da District Hanoi Viet Nam Hanoi University of Industry Faculty of Electrical Engineering Viet Nam Hanoi University of Science and Technology School of Electrical and Electronic Engineering No1 Dai Co Viet street Hai Ba Trung District Hanoi Viet Nam No1 Dai Co Viet street Hai Ba Trung District Hanoi Viet Nam No1 Dai Co Viet street Hai Ba Trung District Hanoi Viet Nam

ISBN: (纸本)9798350328783

In this paper, an analytic approach is developed for determining the electromagnetic parameters of switched reluctance motors (SRMs) taking influence of rotor and stator pole angles into account. This study focuses on computing the value of minimum inductance (Lmin) and maximum inductance (Lmax), and high order-harmonic components (3rd, 6th, 9th, 12th, and 15th) of the torque with the variation of rotor angle (βr). Based on that, it can be defined a suitable β r to the smallest value of the order harmonic components. The development method also allows to compute everage torque, powers, torque ripple and efficiency of the SRMs with the different speeds. The obtained results from the proposed method is compared to that from the experiment model to show the good agreement. © 2023 IEEE.

关键词： Torque

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Balancing Human-robot Collaborative Disassembly Line by Using Dingo Optimization Algorithm 4

Balancing Human-robot Collaborative Disassembly Line by Usin...

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4th IEEE international conference on Human-Machine Systems, ICHMS 2024

作者： Guo, Xiwang Zhou, Liangbo Zhou, Mengchu Wang, Weitian Wang, Jiacun Qi, Liang Liaoning Petrochemical University Information And Control Engineering Fushun China Liaoning Petrochemical University Information And Control Fushun China New Jersey Institute Of Technology Electrical And Computer Engineering NewarkNJ United States Montclair State University School Of Computing Montclair United States Monmouth University Computer Science And Software Eng. West Long BranchNJ United States Shandong University Of Sci. And Tech. Computer Intelligent Sci. And Tech. Qingdao China

ISBN: (纸本)9798350315790

Disassembling and recycling scrapped products play important roles in effectively reducing environmental pollution and improving resource sustainability. A multi-product human-robot collaborative disassembly-line-balancing problem (MHDP) arises from doing so and represents an important yet to be solved in the remanufacturing field. This work explores how to use optimization algorithms to schedule tasks between humans and robots to maximize remanufacturing profit in human-robot collaboration contexts. Specifically, we investigate MHDP and develop a mixed integer programming model considering various system constraints. We propose a dingo optimization algorithm that simulates wild dogs' social hierarchy and chasing processes to solve MHDP. We compare the proposed algorithm with an exact solution finder, i.e., IBM CPLEX and a well-known intelligent optimization method, i.e., Genetic Algorithm to show its competitive performance in terms of solution accuracy and efficiency. © 2024 IEEE.

关键词： Genetic algorithms

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Edge computing SoC implementation of compressive sensing algorithm for single-pixel cameras 18

Edge computing SoC implementation of compressive sensing alg...

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18th international conference on electrical engineering, computing science and automatic control (CCE)

作者： Manjarres Garcia, A. Osorio Quero, C. Rangel-Magdaleno, J. Martinez-Carranza, J. Durini Romero, D. Inst Nacl Astrofis Opt & Elect INAOE Digital Syst Grp Elect Dept Luis Enrique Erro 1 Tonantzintla 72840 Puebla Mexico Inst Nacl Astrofis Opt & Elect INAOE Comp Sci Dept Luis Enrique Erro 1 Tonantzintla 72840 Puebla Mexico

ISBN: (纸本)9781665400299

One of the most recent applications of compressive sensing is single-pixel cameras, where an image is generated by a reduced set of measurements. This new type of camera has already been implemented in many ways but always relying on a powerful CPU or GPU to run the reconstruction algorithms, limiting the portability and increasing the power consumption of the entire system. In this work, a well-known compressive sensing algorithm called TVAL3 is implemented in a Xilinx SoC embedded device. This algorithm has been used in multiples works of compressive sensing for single-pixel cameras due to its image reconstruction performance. The used device is a Zynq-7000 SoC that has an ARM CPU and allows hardware acceleration via FPGA. The hardware accelerator allows speed up the most time-consuming part of the algorithms to contrast the retard caused by the low-spec CPU. The proposed FPGA accelerator implementation was compared with the CPU-only version as regards quality reconstruction and speed. The results show a nearly 10x improvement in the consumption time and a no reduction in the quality of the reconstructions. The new implementation can be used to the initial phase of new, more portable, and faster single-pixel cameras.

关键词： Performance evaluation Power demand Runtime Limiting Reconstruction algorithms Cameras Compressed sensing

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Experimental Evaluation of Internet of Things Assisted Human Voice based Smart Home controlling System

Experimental Evaluation of Internet of Things Assisted Human...

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2023 international conference on Innovative computing, Intelligent Communication and Smart electrical Systems, ICSES 2023

作者： Pavaiyarkarasi, R. Rajendran, N. Vijayashanthi, R.S. Saranya, G. Mohanavel, V. R.M.K. Engineering College Department of ECE Chennai India B.S. Abdur Rahman Crescent Institute of Science and Technology Department of Information Technology Chennai Vandalur India S.A. Engineering College Department of ECE Chennai India Sri Krishna College of Engineering and Technology Department of Electronics and Communication Engineering Coimbatore Kuniyamuthur India Bharath Institute of Higher Education and Research Centre for Materials Engineering and Regenerative Medicine Chennai India Chandigarh University Department of Mechanical Engineering Punjab Mohali140413 India

ISBN: (纸本)9798350319200

When considering the application of the Internet of Things (IoT) within the realm of household environments, it has the transformative potential to elevate an ordinary dwelling into a smart, safer, and automated home. This paper introduces a Voice controlled Home Application, which offers users remote access to their household appliances. This innovative system harnesses the power of IoT technology and voice recognition, providing users with an intuitive and highly efficient means of controlling a diverse array of home appliances and devices. Through voice commands or text messages, users can seamlessly engage with their smart home ecosystem, eliminating the need for manual adjustments. This amazing technology puts the power in our hands, allowing us to effortlessly give voice commands or send text messages. With this system, we can easily turn our appliances on or off to suit our needs, and the best part is, we can do it from anywhere, even if we were not physically at home. All we need to take advantage of this system is our trusty Android smartphone, a device that has become a part of our daily lives, and a control circuit. This control circuit revolves around an Arduino Uno microcontroller, which takes care of processing our commands and handling the operations of our devices. The microcontroller and our smartphone communicate via Bluetooth, a widely embraced wireless technology renowned for its excellent data-sharing capabilities. © 2023 IEEE.

关键词： Internet of Things IoT Smart Home controlling System Voice controlled Home Application

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A Method for automatic Classification of Railway Dispatching Commands Based on Deep Learning 8

A Method for Automatic Classification of Railway Dispatching...

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8th international conference on Electromechanical control Technology and Transportation, ICECTT 2023

作者： Li, Xinqin Cao, Hongfeng Yan, Shengchun Institute of Computing Technology China Academy of Railway Sciences Beijing100081 China National Energy Transportation Technology Research Institute Co. Ltd Beijing100081 China

ISBN: (纸本)9781510668331

A deep learning based scheduling command classification method is proposed for railway scheduling command text data. Firstly, text preprocessing is performed on the scheduling command, and Word2VEC is used to train the word vector of the scheduling command;To address the issue of imbalanced scheduling command data samples, the SMOTE method is used to automatically generate subcategory samples;Then, the word vector is embedded into the CNN input layer, and the features of the text are extracted using the convolutional and pooling layers of the CNN. The scheduling command is automatically classified using a SoftMax classifier. Through experimental verification of partial railway dispatch command data and comparison with other classification models, the experimental results show that the text classification method proposed in this paper can significantly improve various evaluation indicators. © 2023 SPIE.

关键词： Deep learning

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Smart Electric Billing Management with IoT: Revolutionizing Energy Consumption 4

Smart Electric Billing Management with IoT: Revolutionizing ...

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4th international conference on Power, Energy, control and Transmission Systems, ICPECTS 2024

作者： Rengaraj, R. Venkatakrishnan, G.R. Rajalakshmi, M. Mahalakshmi, K. Arini, R.S.M. Sri Sivasubramaniya Nadar College of Engineering Department of Electrical and Electronics Engineering Chennai India Srm Institute of Science and Technology Department of Computing Technologies Chennai India

ISBN: (纸本)9798331508845

India is the world's third largest producer and third largest consumer of electricity. Traditional billing systems in India lack real-time monitoring, making it difficult to address peak demand efficiently. They often lead to inaccurate billing due to manual readings. These systems do not incentivize offpeak consumption, hindering efforts to optimize energy usage. Embracing modern approaches like IoT and Time-of-Use pricing can enhance accuracy, promote energy efficiency, and also optimize energy consumption based on the demand requirement. To address the increasing energy demands and environmental concerns, the integration of Internet of Things (IoT) technologies, Time-of-Use (TOU) pricing strategies, and machine learning algorithms presents a transformative approach to revolutionize electric billing management. Developing a comprehensive system that combines real-time data acquisition through IoT devices with dynamic pricing based on TOU can optimize energy consumption patterns. Machine learning models are employed to analyze historical usage data, predict consumption patterns, and dynamically adjust pricing to incentivize efficient energy utilization. This aims to enhance user awareness, encourage responsible energy usage, and contribute to a sustainable and resilient energy ecosystem. © 2024 IEEE.

关键词： billing management efficient energy utilization Internet of Things machine learning Time of use (TOU)

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Pain Classification Using Statistical Feature Extraction Using Machine Learning Approach: A Pilot Study 13

Pain Classification Using Statistical Feature Extraction Usi...

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13th IEEE international conference on control System, computing and engineering, ICCSCE 2023

作者： Sudimanto Trisetyarso, Agung Kartowisastro, Iman Herwidiana Budiharto, Widodo Bina Nusantara University Binus Graduate Program Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University School of Computer Science Mathematics Department Jakarta11480 Indonesia Bina Nusantara University Computer Science Department Binus Graduate Program Computer Science Computer Engineering Department Jakarta11480 Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jl. K. H. Syahdan No. 9 Kemanggisan Palmerah Jakarta11480 Indonesia

ISBN: (纸本)9798350323184

Electrodermal activity (EDA) is a general term for all electrical phenomena occurring on the skin, both passive and active. EDA measurements are used by researchers to measure levels of stress, emotion, mental strain, and so on. Measuring human stress levels, emotions, and mental strain are generally associated with the skin conductance response. The function GSR sensor is not only used to read people's psychology but also can be used as a pain sensor used to read the degree of pain in the skin. This pilot study uses sample data from ***. The *** data is galvanic skin response sensor data. The output of this sensor is the conductivity value that occurs in the skin. The data obtained from *** will be extracted using the mean, standard deviation, maximum, minimum, RMS, skewness, and peak-to-peak characteristics. The extracted functions are selected using the forward selection method. The results of the feature selection are three features with an accuracy percentage greater than 50%, namely the mean feature, the RMS feature, and the skewness feature. The machine learning models used are bagged tree, SVM, and K-NN models. Of the three models used, the bagged tree model has the highest accuracy rate, at 98.05%, with an F1 score is 0.9807. The KNN model with k=10 has the lowest level of accuracy compared to other models, at 96.75%. © 2023 IEEE.

关键词： Extraction

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A Novel Magnetic Coupler with PQI Cores for Wireless Power Transfer 19

A Novel Magnetic Coupler with PQI Cores for Wireless Power T...

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19th international conference on Future Networks and Communications, FNC 2024 / 21st international conference on Mobile Systems and Pervasive computing, MobiSPC 2024 / 14th international conference on Sustainable Energy Information Technology, SEIT 2024

作者： Li, Xiaokun Lu, Junwei Wang, Haoran Li, Jingda Three Gorges Intelligent Industrial Control Technology Co. Ltd Wuhan430070 China School of Engineering and Built Environment Griffith University NathanQLD4111 Australia The College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan030024 China

The magnetic coupler is a key component of the wireless power transfer (WPT) system, which greatly affects the performance of the WPT. This paper proposes a novel magnetic coupler with ferrite PQI cores for the WPT of small drones, which can enhance the magnetic coupling and improve power transfer efficiency. This magnetic coupler includes the transmitting (TX) side and receiving (RX) side. The TX side is made of a helical coil and a ferrite PQ core;and the RX side is made of a helical coil and a ferrite I core plate. Finite element simulations are used to investigate the performance of the proposed magnetic coupler with PQI cores, and compare it with a conventional planar magnetic coupler with two I core plates. In addition, an experimental platform is built to prove the validity of the proposed magnetic coupler with PQI cores. The results show that the coupling coefficient can reach 0.97, and it can exceed 0.446 even under the worst coupling conditions. Meanwhile, power transfer efficiency increases by 10.3% using the magnetic coupler with PQI cores. © 2024 The Authors. Published by Elsevier B.V.

关键词： Inductive power transmission

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